We describe a new solution approach for order sequencing which reflects the build-to-order strategy of the European automobile industry. Therefore, it has to cope with a daily changing variety of customer orders. Each order consists of a set of commodities which are implemented while the order sequence passes through a body shop, a paint shop, and an assembly shop. Existing solution approaches ...

Here, we report the draft genome sequence of Klebsiella pneumoniae strain AWD5, isolated from an automobile workshop in India. The de novo assembly resulted in a 4,807,409 bp genome containing 25 rRNA genes, 81 tRNAs, and 4,636 coding sequences (CDS). It carries important genes for polyaromatic hydrocarbon degradation and benzoate degradation.

Statistical Process Control (SPC) methods can significantly increase organizational efficiency if appropriately used. The primary goal of process capability studies is to obtain critical information about processes to render them even more effective. This paper proposes a comprehensive framework for proper implementation of SPC studies, including the design of the sampling procedure and interva...

Strict planetary protection practices are implemented during spacecraft assembly to prevent inadvertent transfer of earth microorganisms to other planetary bodies. Therefore, spacecraft are assembled in cleanrooms, which undergo strict cleaning and decontamination procedures to reduce total microbial bioburden. We wanted to evaluate if these practices selectively favor survival and growth of ha...

Since its presentation at the inaugural 1989 IAAI Conference (O’Brien et al. 1989), Ford’s Direct Labor Management System (DLMS) has evolved from a prototype being tested at a single assembly plant to a fully-deployed application that is being utilized at Ford’s assembly plants throughout the world. DLMS is Ford’s automated solution to managing the automobile manufacturing process system at our...

We examine the effect of plant managers on productivity using unique matched manager-plant panel data U.S. auto-assembly plants during 1993–2007. Our econometric approach is two-pronged. first relies nature our to measure variation in due managerial influence. estimate interquartile range individual average hours-per-vehicle be about 30%. Further, we find that managers’ experience with models a...

With smart sensors and embedded drivers, today’s automotive industry has taken a giant leap in emerging technologies like Machine learning, Artificial intelligence, the Internet of things started to build data-driven decision-making strategies compete global manufacturing. This paper proposes novel design framework that uses Federated learning-Artificial intelligence (FAI) for Smart Contract (S...